Python Identifiers
In Python, identifiers are names given to variables, classes, functions, and other elements in your code. They serve as a way to refer to and manipulate specific elements in your program. Identifiers are an important concept in programming, and it's important to understand the rules for naming them in Python.
Rules for Naming Identifiers in Python
- Identifiers cannot be a keyword.
- Identifiers are case-sensitive.
- They can have a sequence of letters (both uppercase and lowercase), digits (0-9), and underscores (_), but they must start with a letter or an underscore. The first letter of an identifier cannot be a digit.
- It's a convention to start an identifier with a letter rather than an underscore.
- Whitespaces are not allowed in identifiers.
- Special symbols such as !, @, #, $, etc. are not allowed in identifiers.
For example, consider the following code:
1language = "Python" # valid identifier 2_version = "3.11" # valid identifier 31name = "William" # invalid identifier (starts with a digit) 4return = "success" # invalid identifier (a keyword)
As you can see in the above examples, valid identifiers follow the rules for naming identifiers, while invalid identifiers break one or more of the rules.
It's important to use meaningful and descriptive names for your identifiers. This can make your code more readable and easier to understand. For example, consider the following code:
1x = 10 # less meaningful 2count = 10 # more meaningful
In the first example, the identifier "x" does not provide much information about what the variable is used for. In contrast, the identifier "count" is more descriptive and makes it clear that the variable is used to keep track of a count.
Another good practice is to use camelCase or snake_case when naming identifiers with multiple words. camelCase uses the first letter of each word capitalized, while snake_case uses an underscore to separate words. For example,
1camelCase = "example" # camelCase 2snake_case = "example" # snake_case
identifiers are an essential part of Python programming. It's important to understand the rules for naming them and to use meaningful and descriptive names to make your code more readable and maintainable. Also, following conventions like camelCase or snake_case will make your code more consistent and readable.